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Feature selection in omics prediction problems using cat scores and false non-discovery rate control
Feature selection omics prediction problems cat scores false non-discovery rate control
2010/3/18
We revisit the problem of feature selection in linear discriminant analysis (LDA),
i.e. when features are correlated. First, we introduce a pooled centroids formulation
of the multi-class LDA predic...
Discussion：One-step sparse estimates in nonconcave penalized likelihood models：Who cares if it is a white cat or a black Cat?
One-step sparse estimates nonconcave penalized likelihood models
2010/4/30
An insider’s minor comments. Section 2.3 seems to be the reason
that I am a discussant. There, it was first stated that the proposed LLA
algorithm is an instance of the MM algorithm, as termed by La...